Overview

Dataset statistics

Number of variables9
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory810.5 KiB
Average record size in memory83.0 B

Variable types

Numeric2
Categorical5
Text2

Dataset

Description부산광역시 해운대구의 재정정보시스템에 대한 세입자료 수납내역 데이터를 제공합니다.(2024년 1월 15일, 기획조정실 예산팀)
Author부산광역시 해운대구
URLhttps://www.data.go.kr/data/15050173/fileData.do

Alerts

세입예산액(receipt_budget) has constant value ""Constant
세입과목단계1(receipt_subject_depth_1) is highly overall correlated with 세입과목단계2(receipt_subject_depth_2) and 2 other fieldsHigh correlation
세입과목단계2(receipt_subject_depth_2) is highly overall correlated with 세입과목단계1(receipt_subject_depth_1) and 2 other fieldsHigh correlation
세입과목단계4(receipt_subject_depth_4) is highly overall correlated with 세입과목단계1(receipt_subject_depth_1) and 2 other fieldsHigh correlation
세입과목단계3(receipt_subject_depth_3) is highly overall correlated with 세입과목단계1(receipt_subject_depth_1) and 2 other fieldsHigh correlation
세입금일수납(receipt_purchase) is highly skewed (γ1 = 35.31623822)Skewed
세입금일수납(receipt_purchase) has 8290 (82.9%) zerosZeros

Reproduction

Analysis started2024-03-15 02:25:48.718737
Analysis finished2024-03-15 02:25:51.199104
Duration2.48 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

세입자료일련번호(tax_revenue_seq)
Real number (ℝ)

Distinct4570
Distinct (%)45.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0188187 × 1011
Minimum2.0152015 × 1011
Maximum2.0222022 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-15T11:25:51.401608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0152015 × 1011
5-th percentile2.0152016 × 1011
Q12.0172017 × 1011
median2.019202 × 1011
Q32.0202022 × 1011
95-th percentile2.0222022 × 1011
Maximum2.0222022 × 1011
Range7.0007012 × 108
Interquartile range (IQR)3.000505 × 108

Descriptive statistics

Standard deviation2.1692183 × 108
Coefficient of variation (CV)0.0010744988
Kurtosis-1.0834627
Mean2.0188187 × 1011
Median Absolute Deviation (MAD)2.0001002 × 108
Skewness-0.31158456
Sum2.0188187 × 1015
Variance4.7055082 × 1016
MonotonicityNot monotonic
2024-03-15T11:25:51.885521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202120220121 7
 
0.1%
202020210929 6
 
0.1%
201920200824 6
 
0.1%
202120220910 6
 
0.1%
202020220402 6
 
0.1%
201720170419 6
 
0.1%
201620161205 6
 
0.1%
201820181218 6
 
0.1%
202220220622 6
 
0.1%
201920201031 6
 
0.1%
Other values (4560) 9939
99.4%
ValueCountFrequency (%)
201520151102 3
< 0.1%
201520151103 4
< 0.1%
201520151105 1
 
< 0.1%
201520151106 3
< 0.1%
201520151108 2
< 0.1%
201520151109 2
< 0.1%
201520151110 1
 
< 0.1%
201520151111 2
< 0.1%
201520151112 1
 
< 0.1%
201520151113 3
< 0.1%
ValueCountFrequency (%)
202220221218 3
< 0.1%
202220221217 1
 
< 0.1%
202220221216 1
 
< 0.1%
202220221215 2
< 0.1%
202220221214 2
< 0.1%
202220221212 3
< 0.1%
202220221211 3
< 0.1%
202220221210 1
 
< 0.1%
202220221209 1
 
< 0.1%
202220221208 3
< 0.1%

세입과목단계1(receipt_subject_depth_1)
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
기반시설특별회계(회계별총계)
1306 
일반회계(세외수입)
1277 
일반회계(보전수입등및내부거래)
1276 
일반회계(지방세수입)
1272 
지하수관리특별회계(회계별총계)
1257 
Other values (3)
3612 

Length

Max length16
Median length12
Mean length12.5308
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일반회계(조정교부금등)
2nd row일반회계(보전수입등및내부거래)
3rd row기반시설특별회계(회계별총계)
4th row일반회계(조정교부금등)
5th row일반회계(조정교부금등)

Common Values

ValueCountFrequency (%)
기반시설특별회계(회계별총계) 1306
13.1%
일반회계(세외수입) 1277
12.8%
일반회계(보전수입등및내부거래) 1276
12.8%
일반회계(지방세수입) 1272
12.7%
지하수관리특별회계(회계별총계) 1257
12.6%
일반회계(보조금) 1251
12.5%
일반회계(조정교부금등) 1198
12.0%
일반회계(지방교부세) 1163
11.6%

Length

2024-03-15T11:25:52.346302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T11:25:52.729497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기반시설특별회계(회계별총계 1306
13.1%
일반회계(세외수입 1277
12.8%
일반회계(보전수입등및내부거래 1276
12.8%
일반회계(지방세수입 1272
12.7%
지하수관리특별회계(회계별총계 1257
12.6%
일반회계(보조금 1251
12.5%
일반회계(조정교부금등 1198
12.0%
일반회계(지방교부세 1163
11.6%

세입과목단계2(receipt_subject_depth_2)
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
기반시설특별회계(회계별총계)
1306 
일반회계(세외수입)
1277 
일반회계(보전수입등및내부거래)
1276 
일반회계(지방세수입)
1272 
지하수관리특별회계(회계별총계)
1257 
Other values (3)
3612 

Length

Max length16
Median length12
Mean length12.5308
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일반회계(조정교부금등)
2nd row일반회계(보전수입등및내부거래)
3rd row기반시설특별회계(회계별총계)
4th row일반회계(조정교부금등)
5th row일반회계(조정교부금등)

Common Values

ValueCountFrequency (%)
기반시설특별회계(회계별총계) 1306
13.1%
일반회계(세외수입) 1277
12.8%
일반회계(보전수입등및내부거래) 1276
12.8%
일반회계(지방세수입) 1272
12.7%
지하수관리특별회계(회계별총계) 1257
12.6%
일반회계(보조금) 1251
12.5%
일반회계(조정교부금등) 1198
12.0%
일반회계(지방교부세) 1163
11.6%

Length

2024-03-15T11:25:52.996602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T11:25:53.373021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기반시설특별회계(회계별총계 1306
13.1%
일반회계(세외수입 1277
12.8%
일반회계(보전수입등및내부거래 1276
12.8%
일반회계(지방세수입 1272
12.7%
지하수관리특별회계(회계별총계 1257
12.6%
일반회계(보조금 1251
12.5%
일반회계(조정교부금등 1198
12.0%
일반회계(지방교부세 1163
11.6%

세입과목단계3(receipt_subject_depth_3)
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
기반시설특별회계(회계별총계)
1306 
일반회계(세외수입)
1277 
일반회계(보전수입등및내부거래)
1276 
일반회계(지방세수입)
1272 
지하수관리특별회계(회계별총계)
1257 
Other values (3)
3612 

Length

Max length16
Median length12
Mean length12.5308
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일반회계(조정교부금등)
2nd row일반회계(보전수입등및내부거래)
3rd row기반시설특별회계(회계별총계)
4th row일반회계(조정교부금등)
5th row일반회계(조정교부금등)

Common Values

ValueCountFrequency (%)
기반시설특별회계(회계별총계) 1306
13.1%
일반회계(세외수입) 1277
12.8%
일반회계(보전수입등및내부거래) 1276
12.8%
일반회계(지방세수입) 1272
12.7%
지하수관리특별회계(회계별총계) 1257
12.6%
일반회계(보조금) 1251
12.5%
일반회계(조정교부금등) 1198
12.0%
일반회계(지방교부세) 1163
11.6%

Length

2024-03-15T11:25:53.637438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T11:25:53.974240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기반시설특별회계(회계별총계 1306
13.1%
일반회계(세외수입 1277
12.8%
일반회계(보전수입등및내부거래 1276
12.8%
일반회계(지방세수입 1272
12.7%
지하수관리특별회계(회계별총계 1257
12.6%
일반회계(보조금 1251
12.5%
일반회계(조정교부금등 1198
12.0%
일반회계(지방교부세 1163
11.6%

세입과목단계4(receipt_subject_depth_4)
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
기반시설특별회계(회계별총계)
1306 
일반회계(세외수입)
1277 
일반회계(보전수입등및내부거래)
1276 
일반회계(지방세수입)
1272 
지하수관리특별회계(회계별총계)
1257 
Other values (3)
3612 

Length

Max length16
Median length12
Mean length12.5308
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일반회계(조정교부금등)
2nd row일반회계(보전수입등및내부거래)
3rd row기반시설특별회계(회계별총계)
4th row일반회계(조정교부금등)
5th row일반회계(조정교부금등)

Common Values

ValueCountFrequency (%)
기반시설특별회계(회계별총계) 1306
13.1%
일반회계(세외수입) 1277
12.8%
일반회계(보전수입등및내부거래) 1276
12.8%
일반회계(지방세수입) 1272
12.7%
지하수관리특별회계(회계별총계) 1257
12.6%
일반회계(보조금) 1251
12.5%
일반회계(조정교부금등) 1198
12.0%
일반회계(지방교부세) 1163
11.6%

Length

2024-03-15T11:25:54.432725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T11:25:54.796554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기반시설특별회계(회계별총계 1306
13.1%
일반회계(세외수입 1277
12.8%
일반회계(보전수입등및내부거래 1276
12.8%
일반회계(지방세수입 1272
12.7%
지하수관리특별회계(회계별총계 1257
12.6%
일반회계(보조금 1251
12.5%
일반회계(조정교부금등 1198
12.0%
일반회계(지방교부세 1163
11.6%

세입예산액(receipt_budget)
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 10000
100.0%

Length

2024-03-15T11:25:55.221202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T11:25:55.514692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

세입전일누계(receipt_sum)
Text

Distinct2573
Distinct (%)25.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-15T11:25:56.429957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.5555
Min length2

Characters and Unicode

Total characters115555
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1951 ?
Unique (%)19.5%

Sample

1st row19594084000
2nd row73266962030
3rd row779314690
4th row19594084000
5th row37611203000
ValueCountFrequency (%)
82817063770 230
 
2.3%
336424480 210
 
2.1%
14395095000 193
 
1.9%
45349620980 187
 
1.9%
150345555300 184
 
1.8%
1956168110 179
 
1.8%
62875053390 178
 
1.8%
48749791000 176
 
1.8%
588536483740 171
 
1.7%
73266962030 170
 
1.7%
Other values (2563) 8122
81.2%
2024-03-15T11:25:57.772880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 21636
18.7%
1 11257
9.7%
3 10336
8.9%
7 10219
8.8%
9992
8.6%
5 9789
8.5%
8 8793
7.6%
9 8720
7.5%
6 8358
 
7.2%
4 8321
 
7.2%
Other values (3) 8134
 
7.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 105547
91.3%
Space Separator 9992
 
8.6%
Open Punctuation 8
 
< 0.1%
Close Punctuation 8
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 21636
20.5%
1 11257
10.7%
3 10336
9.8%
7 10219
9.7%
5 9789
9.3%
8 8793
8.3%
9 8720
8.3%
6 8358
 
7.9%
4 8321
 
7.9%
2 8118
 
7.7%
Space Separator
ValueCountFrequency (%)
9992
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 115555
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 21636
18.7%
1 11257
9.7%
3 10336
8.9%
7 10219
8.8%
9992
8.6%
5 9789
8.5%
8 8793
7.6%
9 8720
7.5%
6 8358
 
7.2%
4 8321
 
7.2%
Other values (3) 8134
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 115555
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 21636
18.7%
1 11257
9.7%
3 10336
8.9%
7 10219
8.8%
9992
8.6%
5 9789
8.5%
8 8793
7.6%
9 8720
7.5%
6 8358
 
7.2%
4 8321
 
7.2%
Other values (3) 8134
 
7.0%

세입금일수납(receipt_purchase)
Real number (ℝ)

SKEWED  ZEROS 

Distinct1686
Distinct (%)16.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3156354 × 108
Minimum0
Maximum8.3 × 1010
Zeros8290
Zeros (%)82.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-15T11:25:58.128429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.9437924 × 108
Maximum8.3 × 1010
Range8.3 × 1010
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.4884613 × 109
Coefficient of variation (CV)11.313631
Kurtosis1690.5999
Mean1.3156354 × 108
Median Absolute Deviation (MAD)0
Skewness35.316238
Sum1.3156354 × 1012
Variance2.215517 × 1018
MonotonicityNot monotonic
2024-03-15T11:25:58.468281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8290
82.9%
172330 5
 
0.1%
358750 5
 
0.1%
153080 4
 
< 0.1%
311660 3
 
< 0.1%
26330 2
 
< 0.1%
144830 2
 
< 0.1%
800000000 2
 
< 0.1%
454316000 2
 
< 0.1%
4200 2
 
< 0.1%
Other values (1676) 1683
 
16.8%
ValueCountFrequency (%)
0 8290
82.9%
310 1
 
< 0.1%
380 1
 
< 0.1%
1570 1
 
< 0.1%
2630 1
 
< 0.1%
3380 1
 
< 0.1%
3680 1
 
< 0.1%
4200 2
 
< 0.1%
4280 1
 
< 0.1%
4530 1
 
< 0.1%
ValueCountFrequency (%)
83000000000 1
< 0.1%
74600000000 1
< 0.1%
42071701160 1
< 0.1%
31550014000 1
< 0.1%
22561386000 1
< 0.1%
19025479000 1
< 0.1%
18563044000 1
< 0.1%
16284141000 1
< 0.1%
15632843000 1
< 0.1%
15599930000 1
< 0.1%

세입합계(receipt_total)
Text

Distinct2570
Distinct (%)25.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-15T11:25:59.378686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.5652
Min length2

Characters and Unicode

Total characters115652
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1951 ?
Unique (%)19.5%

Sample

1st row19594084000
2nd row73266962030
3rd row779314690
4th row19594084000
5th row37611203000
ValueCountFrequency (%)
82817063770 230
 
2.3%
336424480 210
 
2.1%
14395095000 193
 
1.9%
45349620980 187
 
1.9%
150345555300 184
 
1.8%
1956168110 179
 
1.8%
62875053390 179
 
1.8%
48749791000 177
 
1.8%
588536483740 171
 
1.7%
73266962030 170
 
1.7%
Other values (2560) 8120
81.2%
2024-03-15T11:26:00.610472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 21624
18.7%
1 11293
9.8%
3 10367
9.0%
7 10245
8.9%
9993
8.6%
5 9843
8.5%
9 8762
7.6%
8 8680
7.5%
4 8368
 
7.2%
6 8333
 
7.2%
Other values (3) 8144
 
7.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 105645
91.3%
Space Separator 9993
 
8.6%
Open Punctuation 7
 
< 0.1%
Close Punctuation 7
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 21624
20.5%
1 11293
10.7%
3 10367
9.8%
7 10245
9.7%
5 9843
9.3%
9 8762
8.3%
8 8680
8.2%
4 8368
 
7.9%
6 8333
 
7.9%
2 8130
 
7.7%
Space Separator
ValueCountFrequency (%)
9993
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 115652
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 21624
18.7%
1 11293
9.8%
3 10367
9.0%
7 10245
8.9%
9993
8.6%
5 9843
8.5%
9 8762
7.6%
8 8680
7.5%
4 8368
 
7.2%
6 8333
 
7.2%
Other values (3) 8144
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 115652
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 21624
18.7%
1 11293
9.8%
3 10367
9.0%
7 10245
8.9%
9993
8.6%
5 9843
8.5%
9 8762
7.6%
8 8680
7.5%
4 8368
 
7.2%
6 8333
 
7.2%
Other values (3) 8144
 
7.0%

Interactions

2024-03-15T11:25:49.984784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T11:25:49.562231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T11:25:50.190670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T11:25:49.804831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T11:26:00.885947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
세입자료일련번호(tax_revenue_seq)세입과목단계1(receipt_subject_depth_1)세입과목단계2(receipt_subject_depth_2)세입과목단계3(receipt_subject_depth_3)세입과목단계4(receipt_subject_depth_4)세입금일수납(receipt_purchase)
세입자료일련번호(tax_revenue_seq)1.0000.0220.0220.0220.0220.024
세입과목단계1(receipt_subject_depth_1)0.0221.0001.0001.0001.0000.084
세입과목단계2(receipt_subject_depth_2)0.0221.0001.0001.0001.0000.084
세입과목단계3(receipt_subject_depth_3)0.0221.0001.0001.0001.0000.084
세입과목단계4(receipt_subject_depth_4)0.0221.0001.0001.0001.0000.084
세입금일수납(receipt_purchase)0.0240.0840.0840.0840.0841.000
2024-03-15T11:26:01.354393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
세입과목단계1(receipt_subject_depth_1)세입과목단계2(receipt_subject_depth_2)세입과목단계4(receipt_subject_depth_4)세입과목단계3(receipt_subject_depth_3)
세입과목단계1(receipt_subject_depth_1)1.0001.0001.0001.000
세입과목단계2(receipt_subject_depth_2)1.0001.0001.0001.000
세입과목단계4(receipt_subject_depth_4)1.0001.0001.0001.000
세입과목단계3(receipt_subject_depth_3)1.0001.0001.0001.000
2024-03-15T11:26:01.535476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
세입자료일련번호(tax_revenue_seq)세입금일수납(receipt_purchase)세입과목단계1(receipt_subject_depth_1)세입과목단계2(receipt_subject_depth_2)세입과목단계3(receipt_subject_depth_3)세입과목단계4(receipt_subject_depth_4)
세입자료일련번호(tax_revenue_seq)1.0000.0280.0080.0080.0080.008
세입금일수납(receipt_purchase)0.0281.0000.0450.0450.0450.045
세입과목단계1(receipt_subject_depth_1)0.0080.0451.0001.0001.0001.000
세입과목단계2(receipt_subject_depth_2)0.0080.0451.0001.0001.0001.000
세입과목단계3(receipt_subject_depth_3)0.0080.0451.0001.0001.0001.000
세입과목단계4(receipt_subject_depth_4)0.0080.0451.0001.0001.0001.000

Missing values

2024-03-15T11:25:50.458539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T11:25:50.956156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

세입자료일련번호(tax_revenue_seq)세입과목단계1(receipt_subject_depth_1)세입과목단계2(receipt_subject_depth_2)세입과목단계3(receipt_subject_depth_3)세입과목단계4(receipt_subject_depth_4)세입예산액(receipt_budget)세입전일누계(receipt_sum)세입금일수납(receipt_purchase)세입합계(receipt_total)
15783201620160526일반회계(조정교부금등)일반회계(조정교부금등)일반회계(조정교부금등)일반회계(조정교부금등)019594084000019594084000
2415201920191115일반회계(보전수입등및내부거래)일반회계(보전수입등및내부거래)일반회계(보전수입등및내부거래)일반회계(보전수입등및내부거래)073266962030073266962030
21300201520160208기반시설특별회계(회계별총계)기반시설특별회계(회계별총계)기반시설특별회계(회계별총계)기반시설특별회계(회계별총계)07793146900779314690
16164201620160408일반회계(조정교부금등)일반회계(조정교부금등)일반회계(조정교부금등)일반회계(조정교부금등)019594084000019594084000
14093201620161225일반회계(조정교부금등)일반회계(조정교부금등)일반회계(조정교부금등)일반회계(조정교부금등)037611203000037611203000
35572202020210221일반회계(조정교부금등)일반회계(조정교부금등)일반회계(조정교부금등)일반회계(조정교부금등)048749791000048749791000
16921201520180130일반회계(조정교부금등)일반회계(조정교부금등)일반회계(조정교부금등)일반회계(조정교부금등)034597790000034597790000
33772202020211004일반회계(지방교부세)일반회계(지방교부세)일반회계(지방교부세)일반회계(지방교부세)014395095000014395095000
32869202020220124지하수관리특별회계(회계별총계)지하수관리특별회계(회계별총계)지하수관리특별회계(회계별총계)지하수관리특별회계(회계별총계)0195616811001956168110
38202202020200315일반회계(지방세수입)일반회계(지방세수입)일반회계(지방세수입)일반회계(지방세수입)0796802841007968028410
세입자료일련번호(tax_revenue_seq)세입과목단계1(receipt_subject_depth_1)세입과목단계2(receipt_subject_depth_2)세입과목단계3(receipt_subject_depth_3)세입과목단계4(receipt_subject_depth_4)세입예산액(receipt_budget)세입전일누계(receipt_sum)세입금일수납(receipt_purchase)세입합계(receipt_total)
38270202020200306일반회계(조정교부금등)일반회계(조정교부금등)일반회계(조정교부금등)일반회계(조정교부금등)0450000000004500000000
5868201820190805일반회계(보전수입등및내부거래)일반회계(보전수입등및내부거래)일반회계(보전수입등및내부거래)일반회계(보전수입등및내부거래)065893677680065893677680
1516201920200306일반회계(지방교부세)일반회계(지방교부세)일반회계(지방교부세)일반회계(지방교부세)017180378700017180378700
7352201820190201일반회계(지방교부세)일반회계(지방교부세)일반회계(지방교부세)일반회계(지방교부세)011936571120011936571120
30051202120210202일반회계(세외수입)일반회계(세외수입)일반회계(세외수입)일반회계(세외수입)05170049110328927605202941870
21789201520151203일반회계(보전수입등및내부거래)일반회계(보전수입등및내부거래)일반회계(보전수입등및내부거래)일반회계(보전수입등및내부거래)045349620980045349620980
26668202120220411기반시설특별회계(회계별총계)기반시설특별회계(회계별총계)기반시설특별회계(회계별총계)기반시설특별회계(회계별총계)01745153000174515300
38843201920201121일반회계(보전수입등및내부거래)일반회계(보전수입등및내부거래)일반회계(보전수입등및내부거래)일반회계(보전수입등및내부거래)073266962030073266962030
3881201920190516기반시설특별회계(회계별총계)기반시설특별회계(회계별총계)기반시설특별회계(회계별총계)기반시설특별회계(회계별총계)03280188700328018870
30893202020220927기반시설특별회계(회계별총계)기반시설특별회계(회계별총계)기반시설특별회계(회계별총계)기반시설특별회계(회계별총계)03364244800336424480